Particulate matter 2.5 – PM2.5 mapping using MODIS satellite data and multivariate non-linear regression analysis over Marmara Region – Turkey

• Main Author: Aldabash, Midyan
• Other Authors: Bektaş Balçık, Filiz, 692447, Geomatik Mühendisliği
• Format: Thesis
• Language: English
• Published: Lisansüstü Eğitim Enstitüsü 2022
• Subjects: Paleobotanik; Paleobotany; Haritacılık; Mapping; Yerbilimleri; Earth sciences; Uzaktan algılama; Remote sensing; Merra; Aerosol Robotic Network
• Online Access: http://hdl.handle.net/11527/20248

Tez (Doktora) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2021 This study estimated and mapped the dry-mass concentrations of PM2.5 (Particulate Matter 2.5) on the ground-level for the Marmara Region, Turkey, during 2013-2017, using multivariate nonlinear regression analysis. The study was conducted using AOD550 (Aerosol Optical Depth at 550 nm) derived from the collection C6.1 of MODIS (Moderate Resolution Imaging Spectroradiometer) Aqua and Terra of the NASA (National Aeronautics and Space Administration), meteorological variables of the ERA-5 assimilation of the ECMWF (European Centre for Medium-Range Weather Forecasts), and PM2.5 ground measurements of the UHKİA/NAQMS (National Air Quality Monitoring System) ground-stations network. MODIS AOD data were validated against AERONET (AErosol RObotic NETwork) ground-based sunphotometer AOD obtained from three sites around Turkey. In addition, MODIS AOD was compared to MERRA-2 (Modern-ERA Retrospective Analysis for Research and Application) Version 2 of AOD 550nm. The study aims mainly to map the PM2.5 dry-mass concentrations using MODIS C6.1 AOD550 gridded data over the Marmara Regions, Turkey, for the period between 2013 and 2017. Since a wide variety of health issues are attributed to PM2.5, we aim to assess human exposure to high PM2.5 concentrations in the region due to analyzing the spatiotemporal variability of PM2.5. Besides, an objective is to evaluate the efficiency of the MODIS sensor to retrieve AOD at 550 over the study area using both sunphotometer and gridded data. The fourth objective is to examine the associations between meteorological conditions and PM2.5. Finally, Turkey is a candidate country for a European Union membership. Therefore, we aim to assess the vulnerability of humans in the Marmara region to excessive PM2.5 concentrations based on the E.U.s' air quality regulations. Datasets of AOD obtained from three sites (METU-ERDEMLI, ATHENS-NOA, and Cyprus CUT-TEPAK) of AERONET ground-based sunphotometer were used to validate ...